This paper investigates how visual cues—also known as nudges—can be systematically evaluated for their effectiveness in influencing player navigation within virtual reality (VR) environments. The research aims to establish a structured approach for testing and comparing visual nudges by observing player …

Physical and social distancing measures during the COVID-19 pandemic had the potential to jeopardize health and well-being of older adults. Especially older adults who lived alone faced challenges due to restrictive COVID-19 measures. In this study, we explored views and support needs to maintain health …

Energy conservation is crucial in wireless ad hoc sensor network design to increase network lifetime. Since communication consumes a major part of the energy used by a sensor node, efficient communication is important. Topology control aims at achieving more efficient communication by dropping links …

Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of identifying all relevant records as early as possible. …

Active learning has become an increasingly popular method for screening large amounts of data in systematic reviews and meta-analyses. The active learning process continually improves its predictions on the remaining unlabeled records, with the goal of identifying all relevant records as early as possible. …

Social media firestorms pose a significant challenge for firms in the digital age. Tackling firestorms is difficult because the judgments and responses from social media users are influenced by not only the nature of the transgressions but also by the reactions and opinions of other social media users. …

Friction in the classroom may create useful tension for teachers when they attempt to discuss sensitive topics as part of democratic learning. Due to the openness and indeterminacy of these topics, students can experience what it is like to be (political) subjects in a diverse society and become aware …

Key to reinforcement learning in multi-agent systems is the ability to exploit the fact that agents only directly influence only a small subset of the other agents. Such loose couplings are often modelled using a graphical model: a coordination graph. Finding an (approximately) optimal joint action for …

The aim of this thesis is to identify and implement the best personalized recommendation system that will increase the engagement of Fitenium users. Based on the research, it was determined that the best personalized recommendation system for this use case is Amazon Personalize. Amazon Personalize …

This chapter explores the use of “responsive” or “interactive” urban media technologies as a tool or “building block” in the (re)design of urban public spaces. This is especially relevant as in the last two decades, urban development and digital technologies have brought out new types of urban typologies …